Also included are the scribe notes on Bayesian learning from the 1998 offering.
Title page, preface, and table of contents.
Topic 1: Introduction.
Topic 2: Two-Button PAC Model.
Topic 3: Learning k-term DNF.
Topic 4: Handling an Unknown Size Parameter.
Topic 5: Learning With Noise.
Topic 6: Occam's Razor.
Topic 7: The Vapnik-Chervonenkis Dimension.
Topic 8: Representation-Independent Hardness Results.
Topic 9: The Strength of Weak Learnability.
Topic 9.5: Bayesian Learning. (from the 1998 offering)
Topic 10: Learning wIth Queries.
Topic 12: Learning with Abundant Irrelevant Attributes.
Topic 13: Learning Regular Sets.
Topic 18: The Weighted Majority Algorithm.
Homework Assignment 1. [From 1991]
Homework Assignment 2. [From 1991]
Homework Assignment 3. [From 1991]
Bibliography.